TY - JOUR
T1 - Water Flow Modeling with Dry Bulk Density Optimization to Determine Hydraulic Properties in Mountain Soils
AU - Fullhart, A. T.
AU - Kelleners, T. J.
AU - Chandler, D. G.
AU - McNamara, J. P.
AU - Seyfried, M. S.
N1 - Publisher Copyright:
© Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA. All Rights reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - A new method for determining profile-average and depth-wise hydraulic properties in heterogeneous mountain soils is presented using the GEOtop watershed model in 1-D vertical mode. Dry soil bulk density–converted volumetric soil water retention data are used to determine van Genuchten soil water retention parameters, and the Kozeny–Carman equation is used to determine saturated soil hydraulic conductivity. Optimum dry soil bulk densities are identified by minimizing the sum of squared error between measured and calculated soil water content time series. The new method was tested using soil moisture data from soil profiles at the Dry Creek Experimental Watershed, Boise, ID, and the Libby Creek Experimental Watershed, Laramie, WY. Results of different scenarios showed that the optimization of a single profile-average dry soil bulk density is a good option for describing soil water flow in the heterogeneous mountain soils. Soil water content modeling efficiency (ME) values of 0.084 ≤ ME ≤ 0.745 and –2.443 ≤ ME ≤ 0.373 were found for the Dry Creek and Libby Creek sites, respectively. Relatively low ME values for the deepest sensor depths for some scenarios were attributed to the overestimation of soil water freezing and uncertainty in the soil water retention function near saturation. The resulting calibration procedure is computationally efficient because only one parameter (dry soil bulk density) is optimized.
AB - A new method for determining profile-average and depth-wise hydraulic properties in heterogeneous mountain soils is presented using the GEOtop watershed model in 1-D vertical mode. Dry soil bulk density–converted volumetric soil water retention data are used to determine van Genuchten soil water retention parameters, and the Kozeny–Carman equation is used to determine saturated soil hydraulic conductivity. Optimum dry soil bulk densities are identified by minimizing the sum of squared error between measured and calculated soil water content time series. The new method was tested using soil moisture data from soil profiles at the Dry Creek Experimental Watershed, Boise, ID, and the Libby Creek Experimental Watershed, Laramie, WY. Results of different scenarios showed that the optimization of a single profile-average dry soil bulk density is a good option for describing soil water flow in the heterogeneous mountain soils. Soil water content modeling efficiency (ME) values of 0.084 ≤ ME ≤ 0.745 and –2.443 ≤ ME ≤ 0.373 were found for the Dry Creek and Libby Creek sites, respectively. Relatively low ME values for the deepest sensor depths for some scenarios were attributed to the overestimation of soil water freezing and uncertainty in the soil water retention function near saturation. The resulting calibration procedure is computationally efficient because only one parameter (dry soil bulk density) is optimized.
UR - https://scholarworks.boisestate.edu/geo_facpubs/397
UR - https://doi.org/10.2136/sssaj2017.06.0196
U2 - 10.2136/sssaj2017.06.0196
DO - 10.2136/sssaj2017.06.0196
M3 - Article
SN - 0361-5995
VL - 82
SP - 31
EP - 44
JO - Soil Science Society of America Journal
JF - Soil Science Society of America Journal
IS - 1
ER -